A Bidirectional Flow Joint Sobolev Gradient for Image Interpolation
نویسندگان
چکیده
منابع مشابه
Adaptive Bidirectional Flow for Image Interpolation and Enhancement
Image interpolation is a common problem in imaging applications. However, most interpolation algorithms in existence suffer visually the effects of blurred edges and jagged artifacts in the image to some extent. This paper presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to sharpen edges along the normal directions to the isophote lines...
متن کاملFeature Preserving Image Interpolation and Enhancement Using Adaptive Bidirectional Flow
Image interpolation is a common problem in imaging applications. However, most interpolation algorithms in existence suffer visually to some extent the effects of blurred edges and jagged artifacts in the image. This paper presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to enhance edges along the normal directions to the isophote lines...
متن کاملImage Segmentation with a Sobolev Gradient Method
The most effective methods for finding object boundaries in a digital image involve minimizing a functional over a set of curves or surfaces, where the functional includes internal energy terms for regularization and external energy terms that allign the curves or surfaces with object boundaries. Current practice is to seek critical points of the energy functional by what amounts to a steepest ...
متن کاملA Comparison Principle for a Sobolev Gradient Semi-flow
We consider gradient descent equations for energy functionals of the type S(u) = 1 2 〈u(x), A(x)u(x)〉L2 + ∫ Ω V (x, u) dx, where A is a uniformly elliptic operator of order 2, with smooth coefficients. The gradient descent equation for such a functional depends on the metric under consideration. We consider the steepest descent equation for S where the gradient is an element of the Sobolev spac...
متن کاملImage Sharpening via Sobolev Gradient Flows
Motivated by some recent work in active contour applications, we study the use of Sobolev gradients for PDE-based image diffusion and sharpening. We begin by studying, for the case of isotropic diffusion, the gradient descent/ascent equation obtained by modifying the usual metric on the space of images, which is the L metric, to a Sobolev metric. We present existence and uniqueness results for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2013
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2013/571052